Algorithmic Trading Market Projections, SWOT & Risk
Analysis with Forecast by 2026
Algorithmic Trading Market research provides industry analysis by
type, manufacturer, application along with key factors influencing
the growth of the market which include growth drivers, restraints,
opportunities and challenges, strategically profile key players and
comprehensively
analyze
their
market
share
and
core
competencies.
Algorithmic trading, algo trading, automated trading, or black box trading is a technological
advancement in the stock market. It is a programed process that runs on a computer, which
follows a specific set of instructions (an algorithm) for placing a trade in order to generate profits
at a speed and frequency that is impossible for a human trader. Algorithmic trading is gaining
significant traction, which is useful for financial market and accepted by various countries such
as the U.S., India, the U.K., and South Korea. Accuracy, exceptional speed and liquidity are the
unique features of algorithmic trading, which will result in exponential growth of algorithmic
trading
market
in
the
near
future.
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Global algorithmic trading market is expected to witness significant growth during the forecast
period (2018-2026). This is attributed to increasing adoption of cloud-based solutions, services,
and cloud computing for algorithmic trading. Traders use the cloud services to check backtest,
trading strategies, and run-time series analysis with executing trade. Traders choose cloud
computing as it is capital intensive to build one’s own data centers for services such as data
storage, backup and recovery, data management and networking traders. Therefore, it is easier
to rent space over cloud rather than developing software/hardware infrastructure. According to